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Research Associate (Current)

• Fixed-term research contract building models to predict health conditions using ECG data and applying interpretability methods to discover salient features.
• Tools - PyTorch, ZenML, MLFlow, DVC, and Docker

Senior MLOps Engineer

• Led the end-to-end delivery of machine learning projects from conception to production-ready in for a range of clients across a multitude of domains.
• Projects included using large language models (open and closed-source) in policing, security and defence, and RAG-based systems, deployed recommendation systems for NFTs, and created multi-cloud infrastructure stacks for traditional and generative ML.
• Mentored and developed engineering talent and set company-wide technical best practise.
• Close collaboration with the commerical team to identify opportunities, presenting successes and learnings non-/technical audiences.

Lead MLOps Engineer

• Stepped into the position due to a business requirement for a Lead.
• Responsibilities were broadly the same as the Senior position with more overall accountability for project delivery, mentorship of the team, acting as a conduit between senior leadership and the delivery team, and the management of multiple, simultaneous projects.

Postdoctoral Research Associate

• Researcher on a cross-functional project to build data pipelines, collaborating with academics and industry, to generate and serve recommendations on an e-learning app.

Research Assistant

• Collaborated with Art UK and the Smithsonian to build an artwork-based recommendation system that delivered a tailored curation of museum content.

PhD in Computer Science

• Using Data to Understand How Audiences Engage with Interactive Media
• Embedded into BBC R&D's FXT team working on Data Science problems, such as building predictive models of audience engagement and abandonment with nationally released interactive media experiences.

ACM Summer School on Recommender Systems

MComp (Hons) in Computer Science (Cloud Computing & Big Data Analytics)